Put the ipynb file and html file in the github branch you created in the last assignment and submit the link to the commit in brightspace
from plotly.offline import init_notebook_mode
import plotly.io as pio
import plotly.express as px
import pandas as pd
init_notebook_mode(connected=True)
pio.renderers.default = "plotly_mimetype+notebook"
#load data
df = px.data.gapminder()
df.head()
| country | continent | year | lifeExp | pop | gdpPercap | iso_alpha | iso_num | |
|---|---|---|---|---|---|---|---|---|
| 0 | Afghanistan | Asia | 1952 | 28.801 | 8425333 | 779.445314 | AFG | 4 |
| 1 | Afghanistan | Asia | 1957 | 30.332 | 9240934 | 820.853030 | AFG | 4 |
| 2 | Afghanistan | Asia | 1962 | 31.997 | 10267083 | 853.100710 | AFG | 4 |
| 3 | Afghanistan | Asia | 1967 | 34.020 | 11537966 | 836.197138 | AFG | 4 |
| 4 | Afghanistan | Asia | 1972 | 36.088 | 13079460 | 739.981106 | AFG | 4 |
Recreate the barplot below that shows the population of different continents for the year 2007.
Hints:
# YOUR CODE HERE
df_2007 = df.query('year==2007')
df_2007_new = df_2007.groupby('continent').sum()
fig = px.bar(df_2007_new, x="pop", y=df_2007_new.index, color=df_2007_new.index, orientation='h')
fig.show()
# YOUR CODE HERE
fig = px.bar(df_2007_new, x="pop", y=df_2007_new.index, color=df_2007_new.index, orientation='h')
fig = fig.update_yaxes(categoryorder = 'total ascending')
fig.show()
Add text to each bar that represents the population
# YOUR CODE HERE
fig = px.bar(df_2007_new, x="pop", y=df_2007_new.index, color=df_2007_new.index, orientation='h', text_auto= True)
fig = fig.update_yaxes(categoryorder = 'total ascending')
fig.show()
Thus far we looked at data from one year (2007). Lets create an animation to see the population growth of the continents through the years
df.head()
| country | continent | year | lifeExp | pop | gdpPercap | iso_alpha | iso_num | |
|---|---|---|---|---|---|---|---|---|
| 0 | Afghanistan | Asia | 1952 | 28.801 | 8425333 | 779.445314 | AFG | 4 |
| 1 | Afghanistan | Asia | 1957 | 30.332 | 9240934 | 820.853030 | AFG | 4 |
| 2 | Afghanistan | Asia | 1962 | 31.997 | 10267083 | 853.100710 | AFG | 4 |
| 3 | Afghanistan | Asia | 1967 | 34.020 | 11537966 | 836.197138 | AFG | 4 |
| 4 | Afghanistan | Asia | 1972 | 36.088 | 13079460 | 739.981106 | AFG | 4 |
df_new = df.groupby(['year','continent']).sum().reset_index()
#df_new = df.set_index(['continent'])
df_new.head()
| year | continent | lifeExp | pop | gdpPercap | iso_num | |
|---|---|---|---|---|---|---|
| 0 | 1952 | Africa | 2035.046 | 237640501 | 65133.768223 | 23859 |
| 1 | 1952 | Americas | 1331.996 | 345152446 | 101976.563805 | 9843 |
| 2 | 1952 | Asia | 1528.375 | 1395357351 | 171450.972133 | 13354 |
| 3 | 1952 | Europe | 1932.255 | 418120846 | 169831.723043 | 12829 |
| 4 | 1952 | Oceania | 138.510 | 10686006 | 20596.171300 | 590 |
# YOUR CODE HERE
fig = px.bar(df_new, x='pop', y='continent', color='continent',
animation_frame='year', range_x=[0, 4000000000])
fig = fig.update_yaxes(categoryorder = 'total ascending')
fig.show()
Instead of the continents, lets look at individual countries. Create an animation that shows the population growth of the countries through the years
# YOUR CODE HERE
df_country = df.groupby(['year','country']).sum().reset_index()
fig = px.bar(df_country, x='pop', y='country', color='country',
animation_frame='year', range_x=[0, 1500000000])
fig = fig.update_yaxes(categoryorder = 'total ascending')
fig = fig.update_layout(showlegend=False)
fig.show()
Clean up the country animation. Set the height size of the figure to 1000 to have a better view of the animation
# YOUR CODE HERE
fig = px.bar(df_country, x='pop', y='country', color='country',
animation_frame='year', range_x=[0, 1500000000], height=1000)
fig = fig.update_yaxes(categoryorder = 'total ascending')
fig = fig.update_layout(showlegend=False)
fig.show()
# YOUR CODE HERE
fig = px.bar(df_country, x='pop', y='country', color='country',
animation_frame='year', range_x=[0, 1500000000], range_y=[132, 142])
#set the figure
fig = fig.update_yaxes(categoryorder = 'total ascending')
fig = fig.update_layout(showlegend=False)
fig.show()